**** OPEN OUTPUT LOG FILE  *****


log using "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay Project.APPENDIX D MODELS.04-19-2025.smcl", replace 






*** MODELS PREDICTING IMPLEMENTATION DELAY: TIME FROM INITIAL FILING BY CLAIMANT --> PAYMENT TO CLAIMANT [PROPORTION OBSERVED IN TIME RANGE: IN DAYS] ***





*** APPENDIX D MODELS: ANALYZING SENSITIVITY OF MANUSCRIPT MODEL ESTIMATES -- OMITTING 2nd IT MODERNIZATION REFORMS [NEBRASKA AND NEW MEXICO] & 2020-2022 [COVID YEARS] ***








*** RETRIEVE MANUSCRIPT MODELS DATABASE [as of 04-18-2025] ***

use "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta", replace




*** SET DATA TO PANEL STRUCTURE  ***

xtset stateid monthyear, monthly

*
*
*
*







*******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** TESTING H1: INTER-SECTORAL HYPOTHESIS [PLUS, BASELINE ORGANIZATIONAL LEARNING ESTIMATES] ***





**** TABLE D1 -- MODELS D1 & D2: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***             (MODELS D1-D2; FIGURES D1A-D1C & D1D-D1F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** ESTIMATE MODEL D1: 14 DAYS OR LESS [DELAY] [MODEL 1 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL:  [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** 	[FIGURES D1A-D1C]


npregress series delay_14days  itmod_monthcount i.agencyhead_gov0 if itmod_adopt_state==1 & stateid!=51 & stateid!=52 & year<2020, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt   adoptcohort_2009_itadopt  adoptcohort_2010_itadopt  adoptcohort_2013_itadopt  adoptcohort_2014_itadopt  adoptcohort_2015_itadopt  adoptcohort_2016_itadopt  adoptcohort_2017_itadopt  adoptcohort_2018_itadopt)  vce(bootstrap, seed(123) rep(1000))

*
*


* [MODEL D1] FIGURE D1A:  E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D1A}""{bf:Unconditional Adaptation Estimates}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D1.FIGURE D1A.04-19-2025.gph", replace


**************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D1] FIGURE D1B: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

*** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***

margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D1B}""{bf:Conditional Adaptation Estimates: Prior Government - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit}" "{bf:[MODEL D1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D1.FIGURE D1B.04-19-2025.gph", replace





****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



*** MODEL D2: 28 DAYS OR MORE [DELAY] [MODEL 2 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** 	[FIGURES D1D-D1F]


npregress series delay_29plusdays  itmod_monthcount i.agencyhead_gov0 if itmod_adopt_state==1 & stateid!=51 & stateid!=52 & year<2020, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt   adoptcohort_2009_itadopt  adoptcohort_2010_itadopt  adoptcohort_2013_itadopt  adoptcohort_2014_itadopt  adoptcohort_2015_itadopt  adoptcohort_2016_itadopt  adoptcohort_2017_itadopt  adoptcohort_2018_itadopt)  vce(bootstrap, seed(123) rep(1000))

*
*
*


* [MODEL D2] FIGURE D1C: E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D1C}""{bf:Unconditional Adaptation Estimates}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D2.FIGURE D1C.04-19-2025.gph", replace


****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************


*  [MODEL D2] FIGURE D1D: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

*** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***

margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D1D}""{bf:Conditional Adaptation Estimates: Prior Government - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days}" "{bf:[MODEL D2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D2.FIGURE D1D.04-19-2025.gph", replace





************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** TESTING H2: INTRA-SECTORAL HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE PLUS; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE: APPOINTED AGENCY POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***





**** TABLE D1 -- MODELS D3 & D4: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***             (MODELS D3-D4; FIGURES D2A-D2F; D3A-D3F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL D3: 14 DAYS OR LESS [DELAY] [MODEL 3 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** [FIGURES D2A-D2F]


npregress series delay_14days  itmod_monthcount i.agencyhead_govord_1 if itmod_adopt_state==1 & stateid!=51 & stateid!=52 & year<2020, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year   adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt   adoptcohort_2009_itadopt  adoptcohort_2010_itadopt  adoptcohort_2013_itadopt  adoptcohort_2014_itadopt  adoptcohort_2015_itadopt  adoptcohort_2016_itadopt  adoptcohort_2017_itadopt  adoptcohort_2018_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D3] FIGURE D2A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D2A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D3.FIGURE D2A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL D3] FIGURE D2B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D2B}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D3.FIGURE D2B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D3] FIGURE D2C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D2C}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D3.FIGURE D2C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL D3] FIGURE D2D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D2D}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D3.FIGURE D2D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D3] FIGURE D2E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D2E}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D3.FIGURE D2E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D3] FIGURE D2F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D2F}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D3.FIGURE D2F.04-19-2025.gph", replace




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************






*** MODEL D4: 28 DAYS OR MORE [DELAY] [MODEL 4 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** 	[FIGURES D3A-D3F]

*
*

npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_1 if itmod_adopt_state==1 & stateid!=51 & stateid!=52 & year<2020, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt   adoptcohort_2009_itadopt  adoptcohort_2010_itadopt  adoptcohort_2013_itadopt  adoptcohort_2014_itadopt  adoptcohort_2015_itadopt  adoptcohort_2016_itadopt  adoptcohort_2017_itadopt  adoptcohort_2018_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





* [MODEL D4] FIGURE D3A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D3A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D4.FIGURE D3A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL D4] FIGURE D3B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D3B}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D4.FIGURE D3B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D4] FIGURE D3C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D3C}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D4.FIGURE D3C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL D4] FIGURE D3D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D3D}""{bf:Conditional Adaptation Differential: Prior Appointed Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D4.FIGURE D3D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D4] FIGURE D3E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D3E}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D4.FIGURE D3E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D4] FIGURE D3F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D3F}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D4.FIGURE D3F.04-19-2025.gph", replace





*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************








*** TESTING H3: INTRA-SECTORAL AGENCY-SPECIFIC HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE RESTRICTED ONLY TO NON-UIP AGENCY: APPOINTED OR CIVIL/NON-APPOINTED POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: IN UIP AGENCY: APPOINTED OR CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***







**** MODELS D5 & D6: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS D5-D6; FIGURES D4A-D4F; D5A-D5F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL D5: 14 DAYS OR LESS [DELAY] [MODEL 5 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** [FIGURES D4A-D4F]


npregress series delay_14days  itmod_monthcount i.agencyhead_govord_2 if itmod_adopt_state==1 & stateid!=51 & stateid!=52 & year<2020, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt   adoptcohort_2009_itadopt  adoptcohort_2010_itadopt  adoptcohort_2013_itadopt  adoptcohort_2014_itadopt  adoptcohort_2015_itadopt  adoptcohort_2016_itadopt  adoptcohort_2017_itadopt  adoptcohort_2018_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D5] FIGURE D4A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D4A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D5.FIGURE D4A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL D5] FIGURE D4B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D4B}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D5.FIGURE D4B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D5] FIGURE D4C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D4C}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D5.FIGURE D4C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL D5] FIGURE D4D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D4D}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D5.FIGURE D4D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D5] FIGURE D4E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D4E}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D5.FIGURE D4E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL D5] FIGURE D4F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D4F}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL D5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D5.FIGURE D4F.04-19-2025.gph", replace






****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** MODEL D6: 28 DAYS OR MORE [DELAY] [MODEL 6 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** 	[FIGURES D5A-D5F]

*
*

npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_2 if itmod_adopt_state==1 & stateid!=51 & stateid!=52 & year<2020, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt  adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt   adoptcohort_2009_itadopt  adoptcohort_2010_itadopt  adoptcohort_2013_itadopt  adoptcohort_2014_itadopt  adoptcohort_2015_itadopt  adoptcohort_2016_itadopt  adoptcohort_2017_itadopt  adoptcohort_2018_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

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* [MODEL D6] FIGURE D5A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D5A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D6.FIGURE D5A.04-19-2025.gph", replace



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*

* [MODEL D6] FIGURE D5B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D5B}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D6.FIGURE D5B.04-19-2025.gph", replace


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* [MODEL D6] FIGURE D5C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D5C}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D6.FIGURE D5C.04-19-2025.gph", replace


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* [MODEL D6] FIGURE D5D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D5D}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D6.FIGURE D5D.04-19-2025.gph", replace



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* [MODEL D6] FIGURE D5E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D5E}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D6.FIGURE D5E.04-19-2025.gph", replace



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* [MODEL D6] FIGURE D5F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE D5F}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL D6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model D6.FIGURE D5F.04-19-2025.gph", replace









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